Official document parsing and analysis system and method based on cloud computing

Abstract

The present invention relates to the field of data analysis technology, and in particular to a document parsing and analysis system and method based on cloud computing, including: importing document content data and document direction data into a document sending accuracy analysis model to analyze the document sending accuracy of the document issuing agency; importing document content data, historically released document data, and historically received document data into a document communication effect analysis model to analyze the document communication effect of the document issuing agency; analyzing the document execution difficulty based on the document sending accuracy analysis results and the document communication utility analysis results; and providing a document correction warning to the document issuing agency based on the document execution difficulty results. It can avoid unnecessary troubles and losses during the execution process, and effectively improve the efficiency, quality, and scientificity of document processing.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a document parsing and analysis system and method based on cloud computing. Background Art

[0002] Driven by the wave of informatization and digitalization, official documents are a bridge connecting governments, enterprises, social organizations and individuals, and their importance is self-evident. Official documents not only carry multiple functions such as policy instructions, business communication, cooperation and consultation, but also directly reflect the governance level, work efficiency and information communication ability of the issuing agency. Traditional official document processing methods often rely on manual review and paper circulation, which is not only inefficient, but also prone to errors or omissions due to human factors. However, with the development of technologies such as cloud computing, big data, and artificial intelligence, new changes and opportunities have been brought to official document processing. As an emerging information technology infrastructure, cloud computing can provide solid support for official document parsing and analysis with its powerful computing power, flexible resource scheduling, and efficient data processing capabilities.

[0003] However, the existing technology for parsing and analyzing official documents often adopts the analysis method of general text content, which only analyzes the general content in the official documents, and does not take into account the particularity of official documents compared with ordinary documents; for example, the writing direction and execution difficulty of the official document will also affect the writing style of the staff when writing the content of the official document; at the same time, the understanding ability, resource conditions, execution willingness, etc. of the organization also make the writing and execution process of the official document full of uncertainty. Summary of the invention

[0004] In order to overcome the defects and shortcomings of the prior art, the present invention provides a document parsing and analysis system and method based on cloud computing, which uses the document content accuracy analysis model to conduct an in-depth analysis of the document content; through the document communication effect analysis model, the document communication effect is quantitatively evaluated; combined with the document content accuracy analysis results and the communication utility analysis results, the document execution difficulty is comprehensively analyzed. It can identify and correct potential problems in the document in advance, avoid unnecessary troubles and losses during the execution process, and effectively improve the efficiency, quality and scientificity of document processing. At the same time, it also helps to increase the degree of attention paid to the quality of documents by the issuing agency and promote the continuous improvement of document processing.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides a document parsing and analysis method based on cloud computing, comprising the following steps:

[0007] S1. Obtain the document content data and document direction data of the issuing agency, and at the same time obtain the historical document data of the issuing agency and the historical document data of the receiving agency in the cloud document database;

[0008] S2. Importing the document content data and the document direction data into the document sending accuracy analysis model to analyze the document sending accuracy of the issuing agency;

[0009] S3, importing the official document content data, historically released official document data and historically received official document data into the official document communication effect analysis model to analyze the official document communication effect of the issuing agency;

[0010] S4. Analyze the difficulty of document execution based on the analysis results of document sending accuracy and document communication effectiveness;

[0011] S5. Based on the difficulty of executing the official document, an official document revision warning will be issued to the issuing agency.

[0012] In an optional implementation, step S2 includes the following specific steps:

[0013] S21, extracting the document content data and document direction data of the document issuing agency, wherein the document content data includes the document content data to be sent and the document content data of historically sent documents; the document direction data includes the transmission level data of the document to be sent and the historical transmission level data;

[0014] S22, importing the official document content data and the document direction data into the official document sending accuracy calculation formula to calculate the sending accuracy of the official document to be sent by the issuing agency; the official document sending accuracy calculation formula is:

[0015] ;

[0016] In the formula, Fz represents the sending accuracy of the official documents to be sent by the issuing agency, nr represents the accuracy of the content of the official documents to be sent, xf represents the accuracy of the direction of the official documents to be sent, and a and b represent the accuracy coefficient of the content of the official document and the accuracy coefficient of the direction of the official document, respectively.

[0017] In an optional implementation, the calculation formula for the accuracy of the document content is:

[0018] ;

[0019] In the formula, ti represents the word frequency of the i-th word in the document to be sent in the document content data; hti represents the average number of occurrences of the i-th word in the document to be sent in the document content data in all historical documents with the same document direction as the document to be sent; N is the number of historical documents in the document content data with the same document direction as the document to be sent; ni represents the number of historical documents in the document content data that contain the i-th word and have the same document direction as the document to be sent; m represents the number of words in the document to be sent; i is any item from 1 to m.

[0020] In an optional implementation, the calculation formula for the writing direction accuracy is:

[0021] ;

[0022] In the formula, E represents the edge set in the transmission path of the document to be sent in the document direction data, (j, j-1) represents an edge from the jth transmission level to the j-1th transmission level in the edge set in the transmission path, Cj represents the level matching degree of the jth transmission level, Q represents the number of transmission levels in the transmission path of the document to be sent in the document direction data, sj represents the role matching degree of the jth transmission level; Qk represents the number of transmission levels in the transmission path of the kth historical document in the document direction data that has the same document direction as the document to be sent; k is any one of 1 to N; j is any one of 1 to Q; wherein, when the jth transmission level is the superior of the j-1th transmission level, the level matching degree is 1, otherwise it is 0; when the document receiving role of the jth transmission level in the transmission path of the document to be sent is the specified document receiving role, the role matching degree is 1, otherwise it is 0.

[0023] In an optional implementation manner, step S3 includes the following specific contents:

[0024] S31, obtaining the document content data and historical document data of the issuing agency and the historical document data of the receiving agency;

[0025] S32, substituting the document content data and historical document data of the issuing agency and the historical document data of the receiving agency into the document communication effect coefficient calculation formula to calculate the document communication effect coefficient of the issuing agency's to-be-sent document; the document communication effect coefficient calculation formula is:

[0026] ;

[0027] In the formula, cd represents the communication effect coefficient of the official documents to be sent by the issuing agency, R represents the number of historically received official documents by the receiving agency in the historical received official document data, It represents the cosine similarity between the content of the document to be sent in the document content data and the content of the r-th historically received document of the recipient agency in the historically received document data; Tfr, Tsr and Thr respectively represent the sending time, receiving time and reply time of the r-th historically received document of the recipient agency in the historically received document data; r is any item from 1 to R.

[0028] In an optional implementation, step S4 includes the following specific steps:

[0029] S41, obtaining the calculated sending accuracy of the official document to be sent and the communication effect coefficient of the official document to be sent of the issuing agency;

[0030] S42, substituting the sending accuracy of the official document to be sent and the communication effect coefficient of the official document to be sent into the official document execution difficulty calculation formula to calculate the execution difficulty of the official document to be sent by the issuing agency; the official document execution difficulty calculation formula is:

[0031] ;

[0032] In the formula, Zx represents the execution difficulty of the document to be sent by the issuing agency, They respectively represent the coefficient of accuracy in sending official documents and the coefficient of effectiveness in conveying official documents.

[0033] In an optional implementation, step S5 includes the following specific steps:

[0034] S51, obtaining the calculated execution difficulty of the document to be sent by the issuing agency;

[0035] S52. A threshold value for the difficulty of executing official documents is preset. When the difficulty of executing official documents to be sent by the issuing agency is greater than the threshold value for the difficulty of executing official documents, an official document correction warning is issued to the issuing agency. When the difficulty of executing official documents to be sent by the issuing agency is less than or equal to the threshold value for the difficulty of executing official documents, a document sending notification is sent to the issuing agency.

[0036] In a second aspect, an embodiment of the present invention further provides a document parsing and analysis system based on cloud computing, including:

[0037] The data acquisition module is used to obtain the document content data and document direction data of the issuing agency, and at the same time obtain the historical document data of the issuing agency and the historical document data of the receiving agency in the cloud document database;

[0038] The document sending accuracy analysis module is used to import the document content data and the direction data into the document sending accuracy analysis model to analyze the document sending accuracy of the issuing agency;

[0039] The document communication effect analysis module is used to import the document content data, historically released document data and historically received document data into the document communication effect analysis model to analyze the document communication effect of the issuing agency;

[0040] The document execution difficulty analysis module is used to analyze the document execution difficulty based on the document sending accuracy analysis results and the document communication effectiveness analysis results;

[0041] The document revision warning module is used to issue document revision warnings to the issuing agency based on the document execution difficulty results;

[0042] A control module is used to control the operation of the data acquisition module, the official document sending accuracy analysis module, the official document communication effect analysis module, the official document execution difficulty analysis module and the official document correction warning module.

[0043] In a third aspect, an embodiment of the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a document parsing and analysis method based on cloud computing by calling the computer program stored in the memory.

[0044] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0045] The present invention imports the document content data and the direction data into the document sending accuracy analysis model to analyze the document sending accuracy of the document issuing agency; imports the document content data, the historical release document data and the historical reception document data into the document communication effect analysis model to analyze the document communication effect of the document issuing agency; analyzes the document execution difficulty according to the document sending accuracy analysis results and the document communication effectiveness analysis results; and issues a document correction warning to the document issuing agency according to the document execution difficulty results. It can avoid unnecessary troubles and losses in the execution process and effectively improve the efficiency, quality and scientificity of document processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0047] Figure 1 It is a schematic diagram of the overall process of the document parsing and analysis method based on cloud computing of the present invention;

[0048] Figure 2 It is a schematic diagram of the electronic device structure of the document parsing and analyzing method based on cloud computing of the present invention;

[0049] Figure 3 It is a structural schematic diagram of the official document parsing and analysis system based on cloud computing of the present invention. DETAILED DESCRIPTION

[0050] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict.

[0051] Example 1

[0052] like Figure 1 As shown, this embodiment provides a document parsing and analysis method based on cloud computing, which specifically includes the following steps:

[0053] S1. Obtain the document content data and document direction data of the issuing agency, and at the same time obtain the historical document data of the issuing agency and the historical document data of the receiving agency in the cloud document database;

[0054] S2. Importing the document content data and the document direction data into the document sending accuracy analysis model to analyze the document sending accuracy of the issuing agency;

[0055] S3, importing the official document content data, historically released official document data and historically received official document data into the official document communication effect analysis model to analyze the official document communication effect of the issuing agency;

[0056] S4. Analyze the difficulty of document execution based on the analysis results of document sending accuracy and document communication effectiveness;

[0057] S5. Based on the difficulty of executing the official document, an official document revision warning will be issued to the issuing agency.

[0058] In this embodiment, step S2 is used to ensure the matching degree between the content of the official document and the historical content of the issuing institution and the historical content of the receiving institution. Through methods such as cosine similarity, the similarity between the content of the official document and the previous content can be quantified, thereby helping to identify whether the official document conforms to the established communication mode and convention. This helps to improve the accuracy of official document sending and reduce misunderstandings and invalid sending caused by content mismatch.

[0059] At the same time, this application verifies the correctness of the document transmission path by analyzing the direction of the document, and determines the accuracy of the document transmission by analyzing the accuracy of the document content and the transmission path of the direction of the document. The following specific steps are included:

[0060] S21, extracting the document content data and document direction data of the document issuing agency, wherein the document content data includes the document content data to be sent and the document content data of historically sent documents; the document direction data includes the transmission level data of the document to be sent and the historical transmission level data;

[0061] S22, importing the official document content data and the document direction data into the official document sending accuracy calculation formula to calculate the sending accuracy of the official document to be sent by the issuing agency; the official document sending accuracy calculation formula is:

[0062] ;

[0063] In the formula, Fz represents the sending accuracy of the official documents to be sent by the issuing agency, nr represents the accuracy of the content of the official documents to be sent, xf represents the accuracy of the direction of the official documents to be sent, and a and b represent the accuracy coefficient of the content of the official document and the accuracy coefficient of the direction of the official document, respectively.

[0064] In this embodiment, the calculation formula for the accuracy of the official document content is:

[0065] ;

[0066] In the formula, ti represents the word frequency of the i-th word in the document to be sent in the document content data; hti represents the average number of occurrences of the i-th word in the document to be sent in the document content data in all historical documents with the same document direction as the document to be sent; N is the number of historical documents in the document content data with the same document direction as the document to be sent; ni represents the number of historical documents in the document content data that contain the i-th word and have the same document direction as the document to be sent; m represents the number of words in the document to be sent; i is any item from 1 to m.

[0067] In this embodiment, the calculation formula for the writing direction accuracy is:

[0068] ;

[0069] In the formula, E represents the edge set in the transmission path of the document to be sent in the document direction data, (j, j-1) represents an edge from the jth transmission level to the j-1th transmission level in the edge set in the transmission path, Cj represents the level matching degree of the jth transmission level, Q represents the number of transmission levels in the transmission path of the document to be sent in the document direction data, sj represents the role matching degree of the jth transmission level; Qk represents the number of transmission levels in the transmission path of the kth historical document in the document direction data that has the same document direction as the document to be sent; k is any one of 1 to N; j is any one of 1 to Q; wherein, when the jth transmission level is the superior of the j-1th transmission level, the level matching degree is 1, otherwise it is 0; when the document receiving role of the jth transmission level in the transmission path of the document to be sent is the specified document receiving role, the role matching degree is 1, otherwise it is 0.

[0070] In this embodiment, step S3 is used to quantify the effect of official document communication. By recording the sending time and receiving time of the official document and calculating the average feedback time difference of each official document, the speed of official document communication can be objectively evaluated. By comparing the content of historical official documents and the feedback time, it can help technical personnel in this field to optimize the official document delivery path. If it is found that the feedback delay of the corresponding receiving agency of a certain official document is long, the transmission path can be adjusted and a more efficient transmission method can be selected. For example, the feedback delay can be reduced and the efficiency of official document communication can be improved by reducing intermediate transmission nodes, optimizing the transmission process, etc. The following specific steps are included:

[0071] S31, obtaining the document content data and historical document data of the issuing agency and the historical document data of the receiving agency;

[0072] S32, substituting the document content data and historical document data of the issuing agency and the historical document data of the receiving agency into the document communication effect coefficient calculation formula to calculate the document communication effect coefficient of the issuing agency's to-be-sent document; the document communication effect coefficient calculation formula is:

[0073] ;

[0074] In the formula, cd represents the communication effect coefficient of the official documents to be sent by the issuing agency, R represents the number of historically received official documents by the receiving agency in the historical received official document data, It represents the cosine similarity between the content of the document to be sent in the document content data and the content of the r-th historically received document of the recipient agency in the historically received document data; Tfr, Tsr and Thr respectively represent the sending time, receiving time and reply time of the r-th historically received document of the recipient agency in the historically received document data; r is any item from 1 to R.

[0075] In this embodiment, step S4 is used to reduce the uncertainty in the execution process by analyzing the difficulty of executing the official document and optimizing it during the document generation stage. In addition, the difficulty analysis of official document execution can also help technicians in this field optimize the content and structure of the official document, simplify the complex or difficult to understand parts, and provide clearer operating guidelines to improve the execution efficiency of the receiving agency. Ensure the smooth progress of the official document during the transmission and execution process, improve the efficiency and quality of work, and enhance the authority and credibility of the official document. It includes the following specific steps:

[0076] S41, obtaining the calculated sending accuracy of the official document to be sent and the communication effect coefficient of the official document to be sent of the issuing agency;

[0077] S42, substituting the sending accuracy of the official document to be sent and the communication effect coefficient of the official document to be sent into the official document execution difficulty calculation formula to calculate the execution difficulty of the official document to be sent by the issuing agency; the official document execution difficulty calculation formula is:

[0078] ;

[0079] In the formula, Zx represents the execution difficulty of the document to be sent by the issuing agency, They respectively represent the coefficient of accuracy in sending official documents and the coefficient of effectiveness in conveying official documents.

[0080] In this embodiment, step S5 includes the following specific steps:

[0081] S51, obtaining the calculated execution difficulty of the document to be sent by the issuing agency;

[0082] S52. A threshold value for the difficulty of executing official documents is preset. When the difficulty of executing official documents to be sent by the issuing agency is greater than the threshold value for the difficulty of executing official documents, an official document correction warning is issued to the issuing agency. When the difficulty of executing official documents to be sent by the issuing agency is less than or equal to the threshold value for the difficulty of executing official documents, a document sending notification is sent to the issuing agency. Among them, the value determination method of the document content accuracy coefficient, document direction accuracy coefficient, document sending accuracy coefficient, document communication effect coefficient and document execution difficulty threshold is as follows: obtain 5,000 sets of document content data and document direction data, historically released document data and historically received document data; substitute the document content data and document direction data, historically released document data and historically received document data into the document execution difficulty calculation formula to calculate the execution difficulty of 5,000 sets of documents; obtain the execution difficulty judgment results of 5,000 sets of documents, import the execution difficulty and the execution difficulty judgment results into the fitting software, and output the document content accuracy coefficient, document direction accuracy coefficient, document sending accuracy coefficient, document communication effect coefficient and document execution difficulty threshold that meet the highest execution difficulty judgment accuracy rate.

[0083] Example 2

[0084] like Figure 3 As shown, this embodiment provides a document parsing and analysis system based on cloud computing, including:

[0085] The data acquisition module is used to obtain the document content data and document direction data of the issuing agency, and at the same time obtain the historical document data of the issuing agency and the historical document data of the receiving agency in the cloud document database;

[0086] The document sending accuracy analysis module is used to import the document content data and the direction data into the document sending accuracy analysis model to analyze the document sending accuracy of the issuing agency;

[0087] The document communication effect analysis module is used to import the document content data, historically released document data and historically received document data into the document communication effect analysis model to analyze the document communication effect of the issuing agency;

[0088] The document execution difficulty analysis module is used to analyze the document execution difficulty based on the document sending accuracy analysis results and the document communication effectiveness analysis results;

[0089] The document revision warning module is used to issue document revision warnings to the issuing agency based on the document execution difficulty results;

[0090] The control module is used to control the operation of the data acquisition module, the official document sending accuracy analysis module, the official document communication effect analysis module, the official document execution difficulty analysis module and the official document correction warning module.

[0091] The above-mentioned parameters and steps for each unit module to implement corresponding functions in the official document parsing and analysis system based on cloud computing of the present invention can refer to the parameters and steps in the embodiment of the official document parsing and analysis method based on cloud computing above, and will not be repeated here.

[0092] Example 3

[0093] like Figure 2 As shown, an electronic device according to an embodiment of the present invention includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes the document parsing and analysis method based on cloud computing by calling the computer program stored in the memory. It should be noted that: all computer programs of the document parsing and analysis method based on cloud computing are implemented in C language, wherein the data acquisition module, the document sending accuracy analysis module, the document communication effect analysis module, the document execution difficulty analysis module, the document correction warning module and the control module are all controlled by a remote server.

[0094] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0095] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0096] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0097] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. The document parsing and analysis method based on cloud computing is characterized by: The steps include: S1. Obtain the document content data and document direction data of the issuing agency, and at the same time obtain the historical document data of the issuing agency and the historical document data of the receiving agency in the cloud document database; S2. Importing the document content data and the document direction data into the document sending accuracy analysis model to analyze the document sending accuracy of the issuing agency; S3, importing the official document content data, historically released official document data and historically received official document data into the official document communication effect analysis model to analyze the official document communication effect of the issuing agency; S4. Analyze the difficulty of document execution based on the analysis results of document sending accuracy and document communication effectiveness; S5. Based on the results of the difficulty of executing the official document, an early warning of document revision is issued to the issuing agency; The step S2 comprises the following specific steps: S21, extracting the document content data and document direction data of the document issuing agency, wherein the document content data includes the document content data to be sent and the document content data of historically sent documents; the document direction data includes the transmission level data of the document to be sent and the historical transmission level data; S22, importing the official document content data and the document direction data into the official document sending accuracy calculation formula to calculate the sending accuracy of the official document to be sent by the issuing agency; the official document sending accuracy calculation formula is: ； In the formula, Fz represents the accuracy of the official documents to be sent by the issuing agency, nr represents the accuracy of the content of the official documents to be sent, xf represents the accuracy of the direction of the official documents to be sent, a and b represent the accuracy ratio of the content of the official documents and the accuracy ratio of the direction of the official documents respectively; The calculation formula for the accuracy of the official document content is: ； In the formula, ti represents the word frequency of the i-th word in the document to be sent in the document content data; hti represents the average number of occurrences of the i-th word in the document to be sent in the document content data in all historical documents with the same document direction as the document to be sent; N is the number of historical documents in the document content data with the same document direction as the document to be sent; ni represents the number of historical documents in the document content data that contain the i-th word and have the same document direction as the document to be sent; m represents the number of words in the document to be sent; i is any one of 1 to m; The calculation formula of the writing direction accuracy is: ； In the formula, E represents the edge set in the transmission path of the document to be sent in the document direction data, (j, j-1) represents an edge from the jth transmission level to the j-1th transmission level in the edge set in the transmission path, Cj represents the level matching degree of the jth transmission level, Q represents the number of transmission levels in the transmission path of the document to be sent in the document direction data, sj represents the role matching degree of the jth transmission level; Qk represents the number of transmission levels in the transmission path of the kth historical document in the document direction data that has the same document direction as the document to be sent; k is any one of 1 to N; j is any one of 1 to Q; wherein, when the jth transmission level is the superior of the j-1th transmission level, the level matching degree is 1, otherwise it is 0; when the document receiving role of the jth transmission level in the transmission path of the document to be sent is the specified document receiving role, the role matching degree is 1, otherwise it is 0.

2. The document parsing and analysis method based on cloud computing according to claim 1 is characterized in that: The step S3 includes the following specific contents: S31, obtaining the document content data and historical document data of the issuing agency and the historical document data of the receiving agency; S32, substituting the document content data and historical document data of the issuing agency and the historical document data of the receiving agency into the document communication effect coefficient calculation formula to calculate the document communication effect coefficient of the issuing agency's to-be-sent document; the document communication effect coefficient calculation formula is: ； In the formula, cd represents the communication effect coefficient of the official documents to be sent by the issuing agency, R represents the number of historically received official documents by the receiving agency in the historical received official document data, It represents the cosine similarity between the content of the document to be sent in the document content data and the content of the r-th historically received document of the recipient agency in the historically received document data; Tfr, Tsr and Thr respectively represent the sending time, receiving time and reply time of the r-th historically received document of the recipient agency in the historically received document data; r is any item from 1 to R.

3. The document parsing and analysis method based on cloud computing according to claim 2 is characterized in that: The step S4 comprises the following specific steps: S41, obtaining the calculated sending accuracy of the official document to be sent and the communication effect coefficient of the official document to be sent of the issuing agency; S42, substituting the sending accuracy of the official document to be sent and the communication effect coefficient of the official document to be sent into the official document execution difficulty calculation formula to calculate the execution difficulty of the official document to be sent by the issuing agency; the official document execution difficulty calculation formula is: ； In the formula, Zx represents the execution difficulty of the document to be sent by the issuing agency, They respectively represent the coefficient of accuracy in sending official documents and the coefficient of effectiveness in conveying official documents.

4. The document parsing and analysis method based on cloud computing according to claim 3 is characterized in that: The step S5 comprises the following specific steps: S51, obtaining the calculated execution difficulty of the official document to be sent by the issuing agency; S52: Preset a threshold value for the difficulty of executing official documents. When the difficulty of executing the official documents to be sent by the issuing agency is greater than the threshold value for the difficulty of executing official documents, issue an official document revision warning to the issuing agency. When the execution difficulty of the official document to be sent by the issuing agency is less than or equal to the official document execution difficulty threshold, a document sending notification is sent to the issuing agency.

5. A cloud computing-based official document parsing and analysis system, used to implement the cloud computing-based official document parsing and analysis method described in any one of claims 1 to 4, characterized in that: The system comprises: The data acquisition module is used to obtain the document content data and document direction data of the issuing agency, and at the same time obtain the historical document data of the issuing agency and the historical document data of the receiving agency in the cloud document database; The document sending accuracy analysis module is used to import the document content data and the direction data into the document sending accuracy analysis model to analyze the document sending accuracy of the issuing agency; The document communication effect analysis module is used to import the document content data, historically released document data and historically received document data into the document communication effect analysis model to analyze the document communication effect of the issuing agency; The document execution difficulty analysis module is used to analyze the document execution difficulty based on the document sending accuracy analysis results and the document communication effectiveness analysis results; The document revision warning module is used to issue document revision warnings to the issuing agency based on the document execution difficulty results; A control module is used to control the operation of the data acquisition module, the official document sending accuracy analysis module, the official document communication effect analysis module, the official document execution difficulty analysis module and the official document correction warning module.

6. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the cloud computing-based document parsing and analysis method as described in any one of claims 1 to 4 by calling the computer program stored in the memory.

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